Data Engineering and Analytics
Organize, clean and transform your data to make it useful to business. Data engineering takes up 80% of the time of all data projects, and our rapid tool kit cuts that time by half.
WHAT WE DO
Challenges we solve
Optimize Data Collection Process
Collect, organize and optimize different types of data automatically using a data system, while ensuring that the standard of data quality is high. This helps you get the most value out of it.
Build Intelligent Data Platforms
Intelligent Data Platforms (IDPs) are AI-driven platforms that make data accessible for real-time analysis across all cloud platforms. With the help of IDPs, businesses can get the most out of their data.
Ensure Data Governance and Security
Addo AI uses benchmark practices to offer the best consultancy and guidelines for data integrity and security. This can help you be confident about the quality of your data.
Design Interactive Dashboards and BI reports
With the help of interactive dashboards, Addo AI transforms real-time raw data into relevant visuals. Such visualization of KPIs and metrics helps facilitate data-driven decisions.
Intelligent Data Platform for a Multinational Telecom Operator
Build a data analytics infrastructure to enable a 360-degree real-time view of customers, business operations and to reduce the cost for business units.
Automated Quality Audit for a Leading Asian Telecom Firm
Designing and building an efficient and scalable solution that allows clients to gauge and visualize call center agents’ performance.
Reverse Linkage Project for the Ministry of Health (MoH) in Indonesia
Enabling data transformation for governments by establishing data foundations and upskilling existing workforce in AI and Big Data for Improved resource management and effective policy-making.
Intelligent Data Platform for a Large Scale US-based Healthcare Network
Building a centralized data analytics platform for various business units to enable efficient decision making for business users.
Data Mesh Architecture on Cloud for a Large Transportation Company
Building a shared Data Analytics Workspace was provisioned over Azure Cloud to leverage data as an asset to stay competitive in the industry.
Mobility-as-a-Service Platform for Personalized Customer Journey
Building a microservices based MaaS mobile application on cloud with interactive user interfaces to improve customer engagement.
HOW WE DO IT
Addo’s Data Engineering Playbook
Quickly, efficiently, and cost-effectively scale data engineering solutions tailored to your business needs with pre-built data pipelines, platforms, and dashboards.
Performance-Centric Data Pipelines
Data pipeline accelerators to efficiently process and move data.
Established Data Modeling Practice
Industry-driven adaptive data modeling techniques based on BEAM strategy.
Data Quality Monitoring
Enhanced data quality by built-in anomaly detection procedures.
Privacy Preservation and Compliance
Encryption, anonymization, logging, and altering to ensure privacy and security.
Multiple applications integrators leverage cloud integrators.
Our Areas of Expertise
Cloud Data Foundation
Data platforms of the future are born in the Cloud. We help customers design and build secure, governable, cost effective, and scalable Cloud infrastructure across all major public clouds: Azure, AWS, and GCP.
Data Engineering and Migration
Our data modelers, data architects, and data engineers build tool agnostic complex data pipelines to migrate, unify, and consolidate data from multiple sources across the enterprise into a central data lake.
Data Lake Implementation
We specialize in building data lakes and ensuring that they don’t turn into data swamps. Raw data is ingested, organized & structured between data tiers where it’s curated at each step. This maximizes business value while minimizing cost of storage.
Enterprise Data Warehouse Modernization
We help modernize data warehousing by migrating your existing data warehouse solutions to Cloud native solutions such as AWS Redshift, Azure Synapse SQL Pool, GCP BigQuery, and Snowflake.
Our data platform enables self-service access to the data. This enables data engineers, data analysts, data scientists, and machine learning engineers to seamlessly work together and churn through petabytes of data to generate meaningful insights.
Our team of experienced data architects, data engineers, machine learning engineers, and data scientists provides select strategic customers with ongoing post-production support services.
Our Data & Analytics Accelerators
Quickly, efficiently, and cost-effectively scale Data & Analytics solutions tailored to your business needs, through pre-built Data modules, platforms, and dashboards.
Fast track the delivery of different types of data migration scenarios such as lift and shift, replatforming, or rearchitecting of existing solutions, across multiple Cloud and on-premises platforms.
Big Data pipelines
Expedite the delivery of data and analytics across platforms. We build distributed data pipelines for big data workloads ranging from hundreds of gigabytes to petabytes of both batch and streaming data.
Customer 360 platform
Unite all your teams around the customer. Customer 360 brings sales, service, marketing, commerce, IT, and analytics together through digital workflows that power an all-new way to work.
Advantages of being a data-driven organization
We are well-versed in the best-in-class technology stack for Data Engineering.
- Apache Kafka
- Apache Hadoop
- Apache Spark
- Apache Cassandra
- AWS EMR
- AWS Glue
- AWS Kinesis
- Data Proc
- Azure Data Factory
- AWS Redshift
- AWS Athena
- Azure Synapse Analytics
- Data Studio
- AWS Quicksight
Learn how your business can become more data-driven!
Ready to discuss your project?